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Novel Apparatus and Method for Drug Reinforcement
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ARCS motivation model application in a pharmacy elective.

Kimberly K Daugherty1

  • 1Sullivan University College of Pharmacy and Health Sciences.

Currents in Pharmacy Teaching & Learning
|December 15, 2019
PubMed
Summary
This summary is machine-generated.

The Attention, Relevance, Confidence, and Satisfaction (ARCS) model successfully improved and maintained student motivation in a pharmacy elective course. This was achieved through personalized learning goals and instructor adjustments to course content.

Keywords:
ARCSElectivesMotivation

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Area of Science:

  • Educational Psychology
  • Instructional Design

Background:

  • Student motivation is often unpredictable and difficult for instructors to influence.
  • John Keller's Attention, Relevance, Confidence, and Satisfaction (ARCS) model offers a framework to address motivational challenges in education.

Purpose of the Study:

  • To apply the ARCS model's motivational and assessment techniques in a pharmacy elective course.
  • To enhance and sustain student motivation for participation and academic success.

Main Methods:

  • Utilized ARCS motivational strategies and assessment techniques in a summer 2018 pharmacy elective.
  • Focused on improving the initial lecture to foster student engagement.
  • Incorporated learning goal assignments and instructor adjustments to course content.

Main Results:

  • The ARCS model strategies proved effective in improving and maintaining motivation among pharmacy students.
  • Student-developed learning goals and adaptive course content facilitated motivation.
  • Results align with existing literature on motivational models in education.

Conclusions:

  • The ARCS model is a viable strategy for enhancing motivation in specialized academic settings like pharmacy electives.
  • Further research is recommended to explore the ARCS model's impact in diverse educational and non-academic contexts.
  • Future studies should investigate effects on student achievement and utilize more objective measurement tools.